Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks

10.1016/B978-0-444-54298-4.50067-2

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Bibliographic Details
Main Authors: Jonnalagadda, S., Srinivasan, R.
Other Authors: CHEMICAL & BIOMOLECULAR ENGINEERING
Format: Book Chapter
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/117416
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1174162024-11-12T21:53:00Z Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks Jonnalagadda, S. Srinivasan, R. CHEMICAL & BIOMOLECULAR ENGINEERING Alternative optima Bioprocess development Graph theory MILP Minimal reaction sets 10.1016/B978-0-444-54298-4.50067-2 Computer Aided Chemical Engineering 29 1441-1445 2014-12-15T06:08:18Z 2014-12-15T06:08:18Z 2011 Book Chapter Jonnalagadda, S., Srinivasan, R. (2011). Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks. Computer Aided Chemical Engineering 29 : 1441-1445. ScholarBank@NUS Repository. https://doi.org/10.1016/B978-0-444-54298-4.50067-2 15707946 http://scholarbank.nus.edu.sg/handle/10635/117416 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Alternative optima
Bioprocess development
Graph theory
MILP
Minimal reaction sets
spellingShingle Alternative optima
Bioprocess development
Graph theory
MILP
Minimal reaction sets
Jonnalagadda, S.
Srinivasan, R.
Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
description 10.1016/B978-0-444-54298-4.50067-2
author2 CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet CHEMICAL & BIOMOLECULAR ENGINEERING
Jonnalagadda, S.
Srinivasan, R.
format Book Chapter
author Jonnalagadda, S.
Srinivasan, R.
author_sort Jonnalagadda, S.
title Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
title_short Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
title_full Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
title_fullStr Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
title_full_unstemmed Graph Theory Augmented Recursive MILP Approach for Identifying Multiple Minimal Reaction Sets in Metabolic Networks
title_sort graph theory augmented recursive milp approach for identifying multiple minimal reaction sets in metabolic networks
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/117416
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